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@ -88,7 +88,7 @@ build_ast("forest&&height>=1920&&width>=1080")
```
Semantic search uses ambience (image_text_features_web).
Reverse Search uses color_web, image_text_features_web and local_features_web:
Reverse Search uses color_web, image_text_features_web and phash_web:
<img src="./images_md/scenery.cx_reverse_search.png" width=70% height=70%>
You can find images with similar color palette, visuals/semantics, and similar tags.
@ -116,10 +116,10 @@ Snap back to the reality: this will probably never work as well as it sounds bec
# What happens when you import an image?
Lots of stuff
1. check if the image is in the db by sha256
2. use ambience(local_features_web) to find duplicates
2. use ambience(phash_web) to find duplicates
3. if everything is good, optimize the image, generate a thumbnail
4. generate tags (ambience, places365_tagger_web) and caption (ambience, image_caption_web)
5. generating features of ambience(color_web, local_features_web and image_text_features_web)
5. generating features of ambience(color_web, phash_web and image_text_features_web)
# Image mining
scenery.cx consist of images from [/r/EarthPorn](https://www.reddit.com/r/EarthPorn/) and [/r/LandscapePhotography](https://www.reddit.com/r/LandscapePhotography/). I didn't save links to original posts while parsing, that's why currently all source links link to nowhere. <sup><sub>it's just a demo who cares.</sub></sup>